Let's redefine data collaboration. Work together without revealing your sensitive data.




Unlock new data collaborations

Create insights on combined data sets, without revealing your sensitive input data. This way, data like personal or competitive information, can be used in a trusted and privacy-preserving manner. Data which is too sensitive to be shared becomes accessible for joint analyses.


Solve your challenges much faster

Decentralized analytics on encrypted data is faster to implement compared to traditional ways of centralizing data for computations. Both technical and legal complexity are reduced, speeding up the implementation of data collaborations.


Achieve unprecedented privacy

We use Secure Multi-Party Computation (MPC), a state of the art privacy technology. Since sensitive input data are not exposed by design, compliance with abstract notions in the GDPR becomes elegantly simple compared to traditional data sharing.

Unlocking industry collaboration with uncompromised privacy


The magic of secure computation

Episode 1: The basics of decentralized data analytics

In this first video of the series, our CTO Niek explains the basics of our data analytics solution. Our technology is based on MPC, a very powerful technology that allows you to run your logic across multiple data sources. Watertight, always encrypted.

Watch the episode (Dutch)

MPC in brief

We introduce secure multi-party computation (MPC), a paradigm that enables multiple parties to perform computations on their joint data set, such that each party learns nothing beyond the output of these computations. 

Read the article

Simplified GDPR Compliance

The European Commission and the United Nations sponsored three studies that explain that a technique called Secure Multi-Party Computation (MPC) is a “state of the art privacy preserving tool”. 

We are a high-tech software company, determined to transform how organizations handle sensitive data. We focus on uncompromised privacy and rapid deployment. We believe that robust privacy and business transformation go hand-in-hand.


Our privacy solutions

Virtual Data Lake

The Virtual Data Lake is a distributed database. It helps teams to combine data silos and analyze them as one, without exposing the underlying data to each other.

Organizations can virtually combine data sets, run queries against this virtual database, with strong input privacy, and without the need to set up a new environment - avoiding technical and organizational hurdles.

Request product sheet


Cranmera is a high performance decentralized data analytics engine. It is based on state of the art MPC technology. It is robust, scalable and allows for rapid application development and implementation.

Cranmera enables you to develop applications on top of performant MPC technology in weeks: Unlock the value of data sharing 
without revealing your sensitive data.

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Rosetta is a high-throughput parallel pseudonimisation solution, allowing different entities to use different pseudonyms for the same item. The separated items can be subjected to monitoring rules as if they are single entities.

The solution drastically reduces the risk of re-identification and data breaches.

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Our technology in practice


State of the art cryptography ready to be used by data scientists


Tell us your challenge

We love to hear your data collaboration challenges. If you want us to reach out to you, please fill in your details:

Roseman Labs B.V. is headquartered in The Netherlands.

Our office address

Europalaan 500
3526 KS Utrecht